Metadata-Version: 2.1
Name: scikit-learn
Version: 0.24.2
Summary: A set of python modules for machine learning and data mining
Home-page: http://scikit-learn.org
Maintainer: Andreas Mueller
Maintainer-email: amueller@ais.uni-bonn.de
License: new BSD
Download-URL: https://pypi.org/project/scikit-learn/#files
Project-URL: Bug Tracker, https://github.com/scikit-learn/scikit-learn/issues
Project-URL: Documentation, https://scikit-learn.org/stable/documentation.html
Project-URL: Source Code, https://github.com/scikit-learn/scikit-learn
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Programming Language :: C
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Development Status :: 5 - Production/Stable
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
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Requires-Dist: scipy (>=0.19.1)
Requires-Dist: joblib (>=0.11)
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Provides-Extra: benchmark
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.. -*- mode: rst -*-

|Azure|_ |Travis|_ |Codecov|_ |CircleCI|_ |Nightly wheels|_ |PythonVersion|_ |PyPi|_ |DOI|_

.. |Azure| image:: https://dev.azure.com/scikit-learn/scikit-learn/_apis/build/status/scikit-learn.scikit-learn?branchName=main
.. _Azure: https://dev.azure.com/scikit-learn/scikit-learn/_build/latest?definitionId=1&branchName=main

.. |Travis| image:: https://api.travis-ci.com/scikit-learn/scikit-learn.svg?branch=main
.. _Travis: https://travis-ci.com/scikit-learn/scikit-learn

.. |Codecov| image:: https://codecov.io/github/scikit-learn/scikit-learn/badge.svg?branch=main&service=github
.. _Codecov: https://codecov.io/github/scikit-learn/scikit-learn?branch=main

.. |CircleCI| image:: https://circleci.com/gh/scikit-learn/scikit-learn/tree/main.svg?style=shield&circle-token=:circle-token
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.. |Nightly wheels| image:: https://github.com/scikit-learn/scikit-learn/workflows/Wheel%20builder/badge.svg?event=schedule
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.. _DOI: https://zenodo.org/badge/latestdoi/21369/scikit-learn/scikit-learn

.. |PythonMinVersion| replace:: 3.6
.. |NumPyMinVersion| replace:: 1.13.3
.. |SciPyMinVersion| replace:: 0.19.1
.. |JoblibMinVersion| replace:: 0.11
.. |ThreadpoolctlMinVersion| replace:: 2.0.0
.. |MatplotlibMinVersion| replace:: 2.1.1
.. |Scikit-ImageMinVersion| replace:: 0.13
.. |PandasMinVersion| replace:: 0.25.0
.. |SeabornMinVersion| replace:: 0.9.0
.. |PytestMinVersion| replace:: 5.0.1

.. image:: doc/logos/scikit-learn-logo.png
  :target: https://scikit-learn.org/

**scikit-learn** is a Python module for machine learning built on top of
SciPy and is distributed under the 3-Clause BSD license.

The project was started in 2007 by David Cournapeau as a Google Summer
of Code project, and since then many volunteers have contributed. See
the `About us <https://scikit-learn.org/dev/about.html#authors>`__ page
for a list of core contributors.

It is currently maintained by a team of volunteers.

Website: https://scikit-learn.org

Installation
------------

Dependencies
~~~~~~~~~~~~

scikit-learn requires:

- Python (>= |PythonMinVersion|)
- NumPy (>= |NumPyMinVersion|)
- SciPy (>= |SciPyMinVersion|)
- joblib (>= |JoblibMinVersion|)
- threadpoolctl (>= |ThreadpoolctlMinVersion|)

=======

**Scikit-learn 0.20 was the last version to support Python 2.7 and Python 3.4.**
scikit-learn 0.23 and later require Python 3.6 or newer.

Scikit-learn plotting capabilities (i.e., functions start with ``plot_`` and
classes end with "Display") require Matplotlib (>= |MatplotlibMinVersion|).
For running the examples Matplotlib >= |MatplotlibMinVersion| is required.
A few examples require scikit-image >= |Scikit-ImageMinVersion|, a few examples
require pandas >= |PandasMinVersion|, some examples require seaborn >=
|SeabornMinVersion|.

User installation
~~~~~~~~~~~~~~~~~

If you already have a working installation of numpy and scipy,
the easiest way to install scikit-learn is using ``pip``   ::

    pip install -U scikit-learn

or ``conda``::

    conda install -c conda-forge scikit-learn

The documentation includes more detailed `installation instructions <https://scikit-learn.org/stable/install.html>`_.


Changelog
---------

See the `changelog <https://scikit-learn.org/dev/whats_new.html>`__
for a history of notable changes to scikit-learn.

Development
-----------

We welcome new contributors of all experience levels. The scikit-learn
community goals are to be helpful, welcoming, and effective. The
`Development Guide <https://scikit-learn.org/stable/developers/index.html>`_
has detailed information about contributing code, documentation, tests, and
more. We've included some basic information in this README.

Important links
~~~~~~~~~~~~~~~

- Official source code repo: https://github.com/scikit-learn/scikit-learn
- Download releases: https://pypi.org/project/scikit-learn/
- Issue tracker: https://github.com/scikit-learn/scikit-learn/issues

Source code
~~~~~~~~~~~

You can check the latest sources with the command::

    git clone https://github.com/scikit-learn/scikit-learn.git

Contributing
~~~~~~~~~~~~

To learn more about making a contribution to scikit-learn, please see our
`Contributing guide
<https://scikit-learn.org/dev/developers/contributing.html>`_.

Testing
~~~~~~~

After installation, you can launch the test suite from outside the source
directory (you will need to have ``pytest`` >= |PyTestMinVersion| installed)::

    pytest sklearn

See the web page https://scikit-learn.org/dev/developers/advanced_installation.html#testing
for more information.

    Random number generation can be controlled during testing by setting
    the ``SKLEARN_SEED`` environment variable.

Submitting a Pull Request
~~~~~~~~~~~~~~~~~~~~~~~~~

Before opening a Pull Request, have a look at the
full Contributing page to make sure your code complies
with our guidelines: https://scikit-learn.org/stable/developers/index.html

Project History
---------------

The project was started in 2007 by David Cournapeau as a Google Summer
of Code project, and since then many volunteers have contributed. See
the `About us <https://scikit-learn.org/dev/about.html#authors>`__ page
for a list of core contributors.

The project is currently maintained by a team of volunteers.

**Note**: `scikit-learn` was previously referred to as `scikits.learn`.

Help and Support
----------------

Documentation
~~~~~~~~~~~~~

- HTML documentation (stable release): https://scikit-learn.org
- HTML documentation (development version): https://scikit-learn.org/dev/
- FAQ: https://scikit-learn.org/stable/faq.html

Communication
~~~~~~~~~~~~~

- Mailing list: https://mail.python.org/mailman/listinfo/scikit-learn
- IRC channel: ``#scikit-learn`` at ``webchat.freenode.net``
- Gitter: https://gitter.im/scikit-learn/scikit-learn
- Twitter: https://twitter.com/scikit_learn
- Stack Overflow: https://stackoverflow.com/questions/tagged/scikit-learn
- Website: https://scikit-learn.org

Citation
~~~~~~~~

If you use scikit-learn in a scientific publication, we would appreciate citations: https://scikit-learn.org/stable/about.html#citing-scikit-learn